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1

Lacasa, Pilar, Alicia Hernando, and Alba García-Vega. Empowering Social Network Analytics Through Software Integration and AI. SAGE Publications Ltd, 2025. https://doi.org/10.4135/9781036221546.

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Gupta, Shashi Kant, Dimitrios A. Karras, and Rajesh Natarajan, eds. Revolutionizing Healthcare: AI Integration with IoT for Enhanced Patient Outcomes. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-65022-2.

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3

Mala, D. Jeya. Integrating AI in IoT Analytics on the Cloud for Healthcare Applications. IGI Global, 2022.

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4

Jeya Mala, D., ed. Integrating AI in IoT Analytics on the Cloud for Healthcare Applications. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-9132-1.

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Mala, D. Jeya. Integrating AI in IoT Analytics on the Cloud for Healthcare Applications. IGI Global, 2022.

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6

Mala, D. Jeya. Integrating AI in Iot Analytics on the Cloud for Healthcare Applications. IGI Global, 2021.

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7

Mala, D. Djeya. Handbook of Research on Integrating AI in IoT Analytics on the Cloud for Healthcare Applications. IGI Global, 2022.

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8

Dodd, John C. Healthcare IT Transformation: Bridging Innovation, Integration, Interoperability, and Analytics. Taylor & Francis Group, 2016.

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9

Dodd, John C. Healthcare IT Transformation: Bridging Innovation, Integration, Interoperability, and Analytics. Productivity Press, 2016.

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10

Healthcare IT Transformation: Bridging Innovation, Integration, Interoperability, and Analytics. Productivity Press, 2016.

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11

Gensinger, Ray. Analytics in Healthcare: An Introduction. Healthcare Information & Management Systems Society, 2021.

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12

Gensinger, Ray. Analytics in Healthcare: An Introduction. Healthcare Information & Management Systems Society, 2021.

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13

Gensinger, Ray. Analytics in Healthcare: An Introduction. Healthcare Information & Management Systems Society, 2021.

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14

Analytics in Healthcare: An Introduction. Taylor & Francis Group, 2014.

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15

Kumar, Abhishek, Ashutosh Kumar Dubey, Surbhi Bhatia, Swarn Avinash Kumar, and Dac-Nhuong Le, eds. Evolving Predictive Analytics in Healthcare: New AI techniques for real-time interventions. Institution of Engineering and Technology, 2022. http://dx.doi.org/10.1049/pbhe043e.

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16

Kumar, Swarn Avinash, Dac-Nhuong Le, Abhishek Kumar, Ashutosh Kumar Dubey, and Surbhi Bhatia. Evolving Predictive Analytics in Healthcare: New AI Techniques for Real-Time Interventions. Institution of Engineering & Technology, 2022.

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17

Kumar, Swarn Avinash, Dac-Nhuong Le, Abhishek Kumar, Ashutosh Kumar Dubey, and Surbhi Bhatia. Evolving Predictive Analytics in Healthcare: New AI Techniques for Real-Time Interventions. Institution of Engineering & Technology, 2022.

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18

Machine Learning for Healthcare Analytics Projects: Build smart AI applications using neural network methodologies across the healthcare vertical market. Packt Publishing, 2018.

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19

Miner, Gary, and Scott Burk. It's All Analytics!: The Foundations of AI, Big Data, and Data Science Landscape for Professionals in Healthcare, Business, and Government. Productivity Press, 2020.

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20

Miner, Gary, and Scott Burk. It's All Analytics!: The Foundations of AI, Big Data, and Data Science Landscape for Professionals in Healthcare, Business, and Government. Productivity Press, 2020.

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21

It's All Analytics!: The Foundations of AI, Big Data, and Data Science Landscape for Professionals in Healthcare, Business, and Government. Productivity Press, 2020.

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22

Miner, Gary, and Scott Burk. It's All Analytics!: The Foundations of AI, Big Data, and Data Science Landscape for Professionals in Healthcare, Business, and Government. Productivity Press, 2020.

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23

Impact of Big Data Analytics and Artificial Intelligence on Green Supply Chain Process Integration and Hospital Environmental Performance: Organizational Information Processing Theory Healthcare. Independently Published, 2021.

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24

Nisbet, Robert, Gary Miner, Mitchell Goldstein, Scott Burk, and Linda A. Miner. Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Healthcare and Medical Research Using AI, ML, and Related Technologies. Elsevier Science & Technology Books, 2022.

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25

Nisbet, Robert, Gary D. Miner, Mitchell Goldstein, Scott Burk, and Linda A. Miner. Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Healthcare and Medical Research Using AI, ML, and Related Technologies. Elsevier Science & Technology, 2022.

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26

Sangeetha, V., and S. Kevin Andrews. Introduction to Artificial Intelligence and Neural Networks. Magestic Technology Solutions (P) Ltd, Chennai, Tamil Nadu, India, 2023. http://dx.doi.org/10.47716/mts/978-93-92090-24-0.

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Artificial Intelligence (AI) has emerged as a defining force in the current era, shaping the contours of technology and deeply permeating our everyday lives. From autonomous vehicles to predictive analytics and personalized recommendations, AI continues to revolutionize various facets of human existence, progressively becoming the invisible hand guiding our decisions. Simultaneously, its growing influence necessitates the need for a nuanced understanding of AI, thereby providing the impetus for this book, “Introduction to Artificial Intelligence and Neural Networks.” This book aims to equip it
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27

Lee, Jyh-An, Reto Hilty, and Kung-Chung Liu, eds. Artificial Intelligence and Intellectual Property. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198870944.001.0001.

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This book explores artificial intelligence (AI), which has become omnipresent in today's business environment: from chatbots to healthcare services to various ways of creating useful information. While AI has been increasingly used to optimize various creative and innovative processes, the integration of AI into products, services, and other operational procedures raises significant concerns across virtually all areas of intellectual property (IP) law. Thus, AI has drawn extensive attention from IP experts globally and there have been some works on specific issues in the intersection between A
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28

BAHADUR TIWARI, BHUPENDRA, E. ESWARA REDDY, and SAM X. KINGSLEY JOSHUA. INNOVATIVE HUMAN RESOURCE PRACTICES AND EMPLOYEE ENGAGEMENT WITH SPECIAL REFERENCE TO IT SECTOR. Jupiter Publications Consortium, 2023. http://dx.doi.org/10.47715/jpc.b.978-93-91303-79-2.

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The industry of information technology in India includes the following services namely IT and software services, IT enabled services, hardware (engineering) services, and e-businesses/e-governance associated with government services. IT services are outsourcing of software support/installation, processing services, systems integration, exports of products and services, and training/education of the information technology science. The significant improvements in the industry have brought about a vital need for systematic process of managing the majority of employees in the IT industry. There wa
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